Mining Discriminative Food Regions for Accurate Food Recognition

1 code implementation • 8 Jul 2022 • Jianing Qiu, Frank P. -W. Lo, Yingnan Sun, Siyao Wang, Benny Lo

Taking inspiration from Adversarial Erasing, a strategy that progressively discovers discriminative object regions for weakly supervised semantic segmentation, we propose a novel network architecture in which a primary network maintains the base accuracy of classifying an input image, an auxiliary network adversarially mines discriminative food regions, and a region network classifies the resulting mined regions.

Food Recognition Weakly supervised Semantic Segmentation +1

An Intelligent Passive Food Intake Assessment System with Egocentric Cameras

no code implementations • 7 May 2021 • Frank Po Wen Lo, Modou L Jobarteh, Yingnan Sun, Jianing Qiu, Shuo Jiang, Gary Frost, Benny Lo

Malnutrition is a major public health concern in low-and-middle-income countries (LMICs).

Semantic Segmentation

Indoor Future Person Localization from an Egocentric Wearable Camera

no code implementations • 6 Mar 2021 • Jianing Qiu, Frank P. -W. Lo, Xiao Gu, Yingnan Sun, Shuo Jiang, Benny Lo

Accurate prediction of future person location and movement trajectory from an egocentric wearable camera can benefit a wide range of applications, such as assisting visually impaired people in navigation, and the development of mobility assistance for people with disability.